Since our commercialisation in 2021, we have developed Nightingale, our software-defined, deployable seismic sensing platform, an advanced capability for detecting and tracking specific targets of interest.

Our products combine advanced sensing, signal processing, AI and software engineering to help our customers see things, find things and anticipate things in complex operational environments.

Our highly skilled hardware, software and AI/ML engineers are at the forefront of this emerging technology, developing a new approach to seismic detection and tracking. By bringing together advanced sensing and intelligent software, we are delivering capabilities that challenge conventional approaches to detecting and tracking activity in the environment.

About the opportunityWe’re looking for a talented Principal AI Engineer to develop, scale and deploy AI and machine learning capabilities within complex sensor systems operating in real-world environments.

Working closely with the CTO, Principal Software Engineer and Principal Hardware Engineer, you will own the development and delivery of Seitec's applied AI/ML capabilities, from problem definition and model architecture through to validation, optimisation and deployment into production and resource-constrained edge systems.

This is a hands-on Principal Engineering role. You will remain directly involved in the technical development of AI/ML solutions, including data analysis, experimentation, model development, evaluation, optimisation, prototyping and deployment. You will be expected to work directly with the technology and contribute to solving complex engineering problems.

As a Principal Engineer, you will provide technical leadership across AI/ML activities, establishing technical approaches and engineering practices, making architectural decisions, and mentoring other engineers and technical staff. You will work closely with software, hardware and research disciplines to ensure AI/ML solutions are not only technically effective, but reliable, maintainable and deployable within the constraints of operational systems.

• Why SEITEC?At SEITEC, we offer a unique opportunity to:Work on cutting-edge AI-enabled seismic sensing technology with direct real-world impact
• Join a small, highly skilled team where your contributions genuinely shape the product
• Enjoy autonomy and accountability - you’re not a cog in the machine
• Operate at the bridge between research and production, turning innovative AI and machine learning approaches into reliable, field-ready capability

About youWe’re seeking someone who enjoys working at the interface of innovation and application - an AI engineer who can explore and evaluate novel approaches, but who takes just as much pride in turning them into reliable, deployable capability.

We’re looking for someone with strong software engineering foundations and deep applied AI/ML capability, with a proven track record of taking complex problems from experimentation through to real-world implementation.

• Specifically, we are looking for candidates with:Significant professional experience in applied AI/ML, software engineering or related technical roles, with a track record of delivering complex technical solutions.
• Tertiary qualifications in Computer Science, Software Engineering, Mathematics, or a related discipline.
• Technical leadership capability, with experience providing technical direction, making architectural and engineering decisions, and mentoring other engineers or technical staff.
• Australian citizenship and the ability to obtain an Australian Defence Security Clearance.
• Strong applied machine learning capability, with demonstrated experience developing, evaluating and deploying models to solve complex real-world problems on resource constrained systems.
• Strong software engineering foundations, including the ability to develop reliable, maintainable and testable AI/ML software, and integrate AI/ML capabilities into existing embedded software systems and operational platforms.
• Strong proficiency in Python and experience with modern machine learning and scientific computing frameworks, including PyTorch, TensorFlow & TFLite, scikit-learn, NumPy and SciPy.
• Experience with MLOps platforms such as MLflow, or equivalent tools for experiment tracking, model versioning and reproducible ML workflows.
• Experience across the AI/ML development lifecycle, including:

1. data preparation, dataset development and experiment design
2. model development, training, validation and optimisation
3. rigorous model evaluation and performance measurement
4. deployment and integration into production or operational systems
5. dataset, experiment and model lifecycle management

• Highly regarded:Experience working in a dynamic start-up or early-stage scale-up environment.
• Experience with time-series sensor data, digital signal processing or related domains.
• Experience working with low-power, edge-based embedded systems, including C/C++ development, and integrating AI/ML capabilities into resource-constrained operational hardware.
• Experience developing AI/ML systems for Defence, security, safet

Since our commercialisation in 2021, we have developed Nightingale, our software-defined, deployable seismic sensing platform, an advanced capability for detecting and tracking specific targets of interest.

Our products combine advanced sensing, signal processing, AI and software engineering to help our customers see things, find things and anticipate things in complex operational environments.

Our highly skilled hardware, software and AI/ML engineers are at the forefront of this emerging technology, developing a new approach to seismic detection and tracking. By bringing together advanced sensing and intelligent software, we are delivering capabilities that challenge conventional approaches to detecting and tracking activity in the environment.

About the opportunityWe’re looking for a talented Principal AI Engineer to develop, scale and deploy AI and machine learning capabilities within complex sensor systems operating in real-world environments.

Working closely with the CTO, Principal Software Engineer and Principal Hardware Engineer, you will own the development and delivery of Seitec's applied AI/ML capabilities, from problem definition and model architecture through to validation, optimisation and deployment into production and resource-constrained edge systems.

This is a hands-on Principal Engineering role. You will remain directly involved in the technical development of AI/ML solutions, including data analysis, experimentation, model development, evaluation, optimisation, prototyping and deployment. You will be expected to work directly with the technology and contribute to solving complex engineering problems.

As a Principal Engineer, you will provide technical leadership across AI/ML activities, establishing technical approaches and engineering practices, making architectural decisions, and mentoring other engineers and technical staff. You will work closely with software, hardware and research disciplines to ensure AI/ML solutions are not only technically effective, but reliable, maintainable and deployable within the constraints of operational systems.

• Why SEITEC?At SEITEC, we offer a unique opportunity to:Work on cutting-edge AI-enabled seismic sensing technology with direct real-world impact
• Join a small, highly skilled team where your contributions genuinely shape the product
• Enjoy autonomy and accountability - you’re not a cog in the machine
• Operate at the bridge between research and production, turning innovative AI and machine learning approaches into reliable, field-ready capability

About youWe’re seeking someone who enjoys working at the interface of innovation and application - an AI engineer who can explore and evaluate novel approaches, but who takes just as much pride in turning them into reliable, deployable capability.

We’re looking for someone with strong software engineering foundations and deep applied AI/ML capability, with a proven track record of taking complex problems from experimentation through to real-world implementation.

• Specifically, we are looking for candidates with:Significant professional experience in applied AI/ML, software engineering or related technical roles, with a track record of delivering complex technical solutions.
• Tertiary qualifications in Computer Science, Software Engineering, Mathematics, or a related discipline.
• Technical leadership capability, with experience providing technical direction, making architectural and engineering decisions, and mentoring other engineers or technical staff.
• Australian citizenship and the ability to obtain an Australian Defence Security Clearance.
• Strong applied machine learning capability, with demonstrated experience developing, evaluating and deploying models to solve complex real-world problems on resource constrained systems.
• Strong software engineering foundations, including the ability to develop reliable, maintainable and testable AI/ML software, and integrate AI/ML capabilities into existing embedded software systems and operational platforms.
• Strong proficiency in Python and experience with modern machine learning and scientific computing frameworks, including PyTorch, TensorFlow & TFLite, scikit-learn, NumPy and SciPy.
• Experience with MLOps platforms such as MLflow, or equivalent tools for experiment tracking, model versioning and reproducible ML workflows.
• Experience across the AI/ML development lifecycle, including:

1. data preparation, dataset development and experiment design
2. model development, training, validation and optimisation
3. rigorous model evaluation and performance measurement
4. deployment and integration into production or operational systems
5. dataset, experiment and model lifecycle management

• Highly regarded:Experience working in a dynamic start-up or early-stage scale-up environment.
• Experience with time-series sensor data, digital signal processing or related domains.
• Experience working with low-power, edge-based embedded systems, including C/C++ development, and integrating AI/ML capabilities into resource-constrained operational hardware.
• Experience developing AI/ML systems for Defence, security, safet
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